Extracting and Visualizing Stock Data
Description
Extracting essential data from a dataset and displaying it is a necessary part of data science; therefore individuals can make correct decisions based on the data. In this assignment, you will extract some stock data, you will then display this data in a graph.
Table of Contents
- Define a Function that Makes a Graph
- Question 1: Use yfinance to Extract Stock Data
- Question 2: Use Webscraping to Extract Tesla Revenue Data
- Question 3: Use yfinance to Extract Stock Data
- Question 4: Use Webscraping to Extract GME Revenue Data
- Question 5: Plot Tesla Stock Graph
- Question 6: Plot GameStop Stock Graph
Estimated Time Needed: 30 min
Note:- If you are working Locally using anaconda, please uncomment the following code and execute it. Use the version as per your python version.
In [3]:
!pip install yfinance
!pip install bs4
!pip install nbformat
!pip install --upgrade plotly
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In [54]:
import yfinance as yf
import pandas as pd
import requests
from bs4 import BeautifulSoup
import plotly.graph_objects as go
from plotly.subplots import make_subplots
In [55]:
import plotly.io as pio
pio.renderers.default = "iframe"
In Python, you can ignore warnings using the warnings module. You can use the filterwarnings function to filter or ignore specific warning messages or categories.
In [56]:
import warnings
# Ignore all warnings
warnings.filterwarnings("ignore", category=FutureWarning)
Define Graphing Function¶
In this section, we define the function make_graph. You don't have to know how the function works, you should only care about the inputs. It takes a dataframe with stock data (dataframe must contain Date and Close columns), a dataframe with revenue data (dataframe must contain Date and Revenue columns), and the name of the stock.
In [57]:
def make_graph(stock_data, revenue_data, stock):
fig = make_subplots(rows=2, cols=1, shared_xaxes=True, subplot_titles=("Historical Share Price", "Historical Revenue"), vertical_spacing = .3)
stock_data_specific = stock_data[stock_data.Date <= '2021-06-14']
revenue_data_specific = revenue_data[revenue_data.Date <= '2021-04-30']
fig.add_trace(go.Scatter(x=pd.to_datetime(stock_data_specific.Date, infer_datetime_format=True), y=stock_data_specific.Close.astype("float"), name="Share Price"), row=1, col=1)
fig.add_trace(go.Scatter(x=pd.to_datetime(revenue_data_specific.Date, infer_datetime_format=True), y=revenue_data_specific.Revenue.astype("float"), name="Revenue"), row=2, col=1)
fig.update_xaxes(title_text="Date", row=1, col=1)
fig.update_xaxes(title_text="Date", row=2, col=1)
fig.update_yaxes(title_text="Price ($US)", row=1, col=1)
fig.update_yaxes(title_text="Revenue ($US Millions)", row=2, col=1)
fig.update_layout(showlegend=False,
height=900,
title=stock,
xaxis_rangeslider_visible=True)
fig.show()
from IPython.display import display, HTML
fig_html = fig.to_html()
display(HTML(fig_html))
Use the make_graph function that we’ve already defined. You’ll need to invoke it in questions 5 and 6 to display the graphs and create the dashboard.
Note: You don’t need to redefine the function for plotting graphs anywhere else in this notebook; just use the existing function.
Question 1: Use yfinance to Extract Stock Data¶
Using the Ticker function enter the ticker symbol of the stock we want to extract data on to create a ticker object. The stock is Tesla and its ticker symbol is TSLA.
In [58]:
Tesla = yf.Ticker('TSLA')
Using the ticker object and the function history extract stock information and save it in a dataframe named tesla_data. Set the period parameter to "max" so we get information for the maximum amount of time.
In [59]:
tesla_data = Tesla.history(period='max')
Reset the index using the reset_index(inplace=True) function on the tesla_data DataFrame and display the first five rows of the tesla_data dataframe using the head function. Take a screenshot of the results and code from the beginning of Question 1 to the results below.
In [60]:
tesla_data.reset_index(inplace=True)
tesla_data.head()
Out[60]:
| Date | Open | High | Low | Close | Volume | Dividends | Stock Splits | |
|---|---|---|---|---|---|---|---|---|
| 0 | 2010-06-29 00:00:00-04:00 | 1.266667 | 1.666667 | 1.169333 | 1.592667 | 281494500 | 0.0 | 0.0 |
| 1 | 2010-06-30 00:00:00-04:00 | 1.719333 | 2.028000 | 1.553333 | 1.588667 | 257806500 | 0.0 | 0.0 |
| 2 | 2010-07-01 00:00:00-04:00 | 1.666667 | 1.728000 | 1.351333 | 1.464000 | 123282000 | 0.0 | 0.0 |
| 3 | 2010-07-02 00:00:00-04:00 | 1.533333 | 1.540000 | 1.247333 | 1.280000 | 77097000 | 0.0 | 0.0 |
| 4 | 2010-07-06 00:00:00-04:00 | 1.333333 | 1.333333 | 1.055333 | 1.074000 | 103003500 | 0.0 | 0.0 |
Question 2: Use Webscraping to Extract Tesla Revenue Data¶
Use the requests library to download the webpage https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0220EN-SkillsNetwork/labs/project/revenue.htm Save the text of the response as a variable named html_data.
In [61]:
url = 'https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0220EN-SkillsNetwork/labs/project/revenue.htm'
html_data = requests.get(url).text
html_data
Out[61]:
'\n<!DOCTYPE html>\n<!--[if lt IE 7]> <html class="no-js lt-ie9 lt-ie8 lt-ie7"> <![endif]-->\n<!--[if IE 7]> <html class="no-js lt-ie9 lt-ie8"> <![endif]-->\n<!--[if IE 8]> <html class="no-js lt-ie9"> <![endif]-->\n<!--[if gt IE 8]><!--> <html class="no-js"> <!--<![endif]-->\n <head>\n <meta charset="utf-8">\n <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">\n\t\t<link rel="canonical" href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/revenue" />\n\t\t<title>Tesla Revenue 2010-2022 | TSLA | MacroTrends</title>\n\t\t<meta name="description" content="Tesla annual/quarterly revenue history and growth rate from 2010 to 2022. Revenue can be defined as the amount of money a company receives from its customers in exchange for the sales of goods or services. Revenue is the top line item on an income statement from which all costs and expenses are subtracted to arrive at net income. \n\t\t\t\t\n\t\t\t\t<ul style=\'margin-top:10px;\'>\n\t\t\t\t<li>Tesla revenue for the quarter ending September 30, 2022 was <strong>$21.454B</strong>, a <strong>55.95% increase</strong> year-over-year.</li>\n\t\t\t\t<li>Tesla revenue for the twelve months ending September 30, 2022 was <strong>$74.863B</strong>, a <strong>59.8% increase</strong> year-over-year.</li>\n\t\t\t\t<li>Tesla annual revenue for 2021 was <strong>$53.823B</strong>, a <strong>70.67% increase</strong> from 2020.</li>\n\t\t\t\t<li>Tesla annual revenue for 2020 was <strong>$31.536B</strong>, a <strong>28.31% increase</strong> from 2019.</li>\n\t\t\t\t<li>Tesla annual revenue for 2019 was <strong>$24.578B</strong>, a <strong>14.52% increase</strong> from 2018.</li>\n\t\t\t\t</ul>" />\n\t\t<meta name="robots" content="" />\n\t\t\t\t\n\t\t<link rel="shortcut icon" href="/assets/images/icons/FAVICON/macro-trends_favicon.ico" type="image/x-icon">\n\n\t\t<meta name="msvalidate.01" content="1228954C688F5907894001CD8E5E624B" />\n\t\t<meta name="google-site-verification" content="6MnD_3iDtAP1ZyoGK1YMyVIVck4r5Ws80I9xD3ue4_A" />\n\n\t\t<!-- Load in Roboto Font -->\n\t\t<link rel=\'stylesheet\' href=\'https://fonts.googleapis.com/css?family=Roboto:400,600,700\'>\n\n\t\t<!-- Bootstrap -->\n\t\t<link rel="stylesheet" href="//maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"> <!--for Bootstrap CDN version-->\n\t\t<link rel="stylesheet" href="//maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css">\n\n\t\t<!-- Font Awesome -->\n\t\t<link rel="stylesheet" href="//stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css"> <!--for Font Awesome CDN version-->\n \t\t\n\t\t<!-- Jquery, Bootstrap and Menu Javascript -->\t\n\t\t<script src="//code.jquery.com/jquery-1.12.4.min.js" integrity="sha256-ZosEbRLbNQzLpnKIkEdrPv7lOy9C27hHQ+Xp8a4MxAQ=" crossorigin="anonymous"></script>\n\t\t<script src="//maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>\n\t\t\t\t\n\t\t<!-- Modernizr for cross-browser support -->\t\t\n\t\t<script type="text/javascript" src="/assets/javascript/modernizr-2.6.2-respond-1.1.0.min.js"></script>\n\n\t\t<!-- Latest compiled and minified CSS -->\n\t\t<link rel="stylesheet" href="//www.fuelcdn.com/fuelux/3.13.0/css/fuelux.min.css">\n\n\t\t<!-- Latest compiled and minified JavaScript -->\n\t\t<script src="//www.fuelcdn.com/fuelux/3.13.0/js/fuelux.min.js"></script>\n\t\t\n\t\t\n\t\t <!-- Twitter Card data -->\n\t\t <meta name="twitter:card" content="summary_large_image">\n\t\t <meta name="twitter:site" content="@tmacrotrends">\n\t\t <meta name="twitter:title" content="Tesla Revenue 2010-2022 | TSLA">\n\t\t <meta name="twitter:description" content="Tesla annual/quarterly revenue history and growth rate from 2010 to 2022. Revenue can be defined as the amount of money a company receives from its customers in exchange for the sales of goods or services. Revenue is the top line item on an income statement from which all costs and expenses are subtracted to arrive at net income. \n\t\t\t\t\n\t\t\t\t<ul style=\'margin-top:10px;\'>\n\t\t\t\t<li>Tesla revenue for the quarter ending September 30, 2022 was <strong>$21.454B</strong>, a <strong>55.95% increase</strong> year-over-year.</li>\n\t\t\t\t<li>Tesla revenue for the twelve months ending September 30, 2022 was <strong>$74.863B</strong>, a <strong>59.8% increase</strong> year-over-year.</li>\n\t\t\t\t<li>Tesla annual revenue for 2021 was <strong>$53.823B</strong>, a <strong>70.67% increase</strong> from 2020.</li>\n\t\t\t\t<li>Tesla annual revenue for 2020 was <strong>$31.536B</strong>, a <strong>28.31% increase</strong> from 2019.</li>\n\t\t\t\t<li>Tesla annual revenue for 2019 was <strong>$24.578B</strong>, a <strong>14.52% increase</strong> from 2018.</li>\n\t\t\t\t</ul>">\n\n\t\t <!-- Open Graph data -->\n\t\t <meta property="og:url" content="https://www.macrotrends.net/stocks/charts/TSLA/tesla/revenue" /> \n\t\t <meta property="og:title" content="Tesla Revenue 2010-2022 | TSLA" />\n\t\t <meta property="og:description" content="Tesla annual/quarterly revenue history and growth rate from 2010 to 2022. Revenue can be defined as the amount of money a company receives from its customers in exchange for the sales of goods or services. Revenue is the top line item on an income statement from which all costs and expenses are subtracted to arrive at net income. \n\t\t\t\t\n\t\t\t\t<ul style=\'margin-top:10px;\'>\n\t\t\t\t<li>Tesla revenue for the quarter ending September 30, 2022 was <strong>$21.454B</strong>, a <strong>55.95% increase</strong> year-over-year.</li>\n\t\t\t\t<li>Tesla revenue for the twelve months ending September 30, 2022 was <strong>$74.863B</strong>, a <strong>59.8% increase</strong> year-over-year.</li>\n\t\t\t\t<li>Tesla annual revenue for 2021 was <strong>$53.823B</strong>, a <strong>70.67% increase</strong> from 2020.</li>\n\t\t\t\t<li>Tesla annual revenue for 2020 was <strong>$31.536B</strong>, a <strong>28.31% increase</strong> from 2019.</li>\n\t\t\t\t<li>Tesla annual revenue for 2019 was <strong>$24.578B</strong>, a <strong>14.52% increase</strong> from 2018.</li>\n\t\t\t\t</ul>" />\n\n\t\t<!-- JQXGRID STYLES AND JAVASCRIPT -->\n\t\t<link rel="stylesheet" href="/assets/php/jqfiles/jqwidgets/styles/jqx.base.css" type="text/css" />\n\t\t<link rel="stylesheet" href="/assets/php/jqfiles/jqwidgets/styles/jqx.bootstrap.css" type="text/css" />\n\n\t\t<!-- LOAD THESE SCRIPTS EARLY SO THE TICKER INPUT FIELD IS STYLED INSTANTLY -->\n\t\t<script type="text/javascript" src="/assets/php/jqfiles/jqwidgets/jqxcore.js"></script>\n\t\t<script type="text/javascript" src="/assets/php/jqfiles/jqwidgets/jqxdata.js"></script> \n\t\t<script type="text/javascript" src="/assets/php/jqfiles/jqwidgets/jqxinput.js"></script> \n\n\t\t<!-- Styling for search box -->\t\n\t\t<link rel="stylesheet" type="text/css" href="/assets/php/jquery-typeahead/jquery.typeahead_pages.css">\n\n\t\t<!-- Search box javascript -->\n\t\t<script src="/assets/php/jquery-typeahead/jquery.typeahead.min.js"></script>\n\t\t\n\n\t\t<link href="//cdnjs.cloudflare.com/ajax/libs/select2/4.0.3/css/select2.min.css" rel="stylesheet" />\n\t\t<script src="//cdnjs.cloudflare.com/ajax/libs/select2/4.0.3/js/select2.min.js"></script>\n\t\n\t<!-- ToolTips -->\t\n\t\t<script src="/assets/php/tipped-4.6.1/js/tipped/tipped.js"></script>\n\t\t<link rel="stylesheet" href="/assets/php/tipped-4.6.1/css/tipped/tipped.css">\n\t\t\n\t\t\t\n\t\t<!-- START IC AD INSERT -->\n\t\t\n <script>InvestingChannelQueue = window.InvestingChannelQueue || [];</script>\n\n\t<script async src="https://u5.investingchannel.com/static/uat.js"></script>\n\n <script type="text/javascript">\n \n //Push Run command with the API-Key, so that UAT will start processing publishers request.\n InvestingChannelQueue.push(function() {\n ic_page = InvestingChannel.UAT.Run("df17ac1e-cc7f-11e8-82a5-0abbb61c4a6a"); 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min-height:265px; text-align:center;">\n\t\n\t\t<div id="IC_D_970x250_1"></div>\n\n\t\t<!--Smartad # 4058: Macrotrends - 970x250 Image - Placement 2-->\n\t\t<!--<iframe id="dianomi_leaderboard" WIDTH="970" HEIGHT="250" SCROLLING="NO" src="//www.dianomi.com/smartads.epl?id=4058" style="height: 250px; border: none; overflow: hidden;"></iframe>-->\n\t\t\t\t \t\t\n\t</div>\n\t\t\t\n\t\t\t<div style="margin:20px 20px 20px 5px;">\n\t\t\t\n\t\t\t\t<h2 style="margin-left:0px; font-weight:600; color:#444;">Tesla Revenue 2010-2022 | TSLA</h2>\n\t\t\t\n\t\t\t</div>\n\t\t\t\n\t\t\t\n\t<div class="sub_main_content_container">\n\t\t\n\n\n\t\t\n\n\t\t\t<div id="main_content">\n\t\t\t\n\t\t\t\n\t\t\t\n<div class="navigation_tabs" style="margin-bottom:20px;">\n\t\t\t\n\t<ul class="nav nav-tabs" id="myTabs" style="font-size:15px;">\n\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/stock-price-history">Prices</a></li>\n\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/financial-statements">Financials</a></li>\n\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li class="active"><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/revenue">Revenue & Profit</a></li>\n\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/total-assets">Assets & Liabilities</a></li>\n\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/profit-margins">Margins</a></li>\n\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/pe-ratio">Price Ratios</a></li>\n\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/current-ratio">Other Ratios</a></li>\n\n\t\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/dividend-yield-history">Other Metrics</a></li>\n\n\t\t\t\n\t\t\n\t</ul>\n\n\n\t<ul class="nav nav-tabs" id="myTabs" style="font-size:15px;">\n\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t<li class="active"><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/revenue">Revenue</a></li>\n\n\n\t\t\t\t\t\t\n\t\t\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/gross-profit">Gross Profit</a></li>\t\t\t\n\n\t\t\t\t\t\t\n\t\t\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/operating-income">Operating Income</a></li>\t\t\t\n\n\t\t\t\t\t\t\n\t\t\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/ebitda">EBITDA</a></li>\t\t\t\n\n\t\t\t\t\t\t\n\t\t\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/net-income">Net Income</a></li>\t\t\t\n\n\t\t\t\t\t\t\n\t\t\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/eps-earnings-per-share-diluted">EPS</a></li>\t\t\t\n\n\t\t\t\t\t\t\n\t\t\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<li><a href="https://www.macrotrends.net/stocks/charts/TSLA/tesla/shares-outstanding">Shares Outstanding</a></li>\t\t\t\n\n\t\t\t\t\t\t\n\t\t\n\n\t</ul>\n\t\n\t\t\t\n</div>\n\n\n\n\n\t\t\t\n\n\t\t\n\n\t\t\t<div style="background-color:#fff; margin: 0px 0px 20px 0px; padding:20px 30px; border:1px solid #dfdfdf;">\n\t\t\t\n\t\t\t\t<span style="color:#444; line-height: 1.8;">Tesla annual/quarterly revenue history and growth rate from 2010 to 2022. Revenue can be defined as the amount of money a company receives from its customers in exchange for the sales of goods or services. Revenue is the top line item on an income statement from which all costs and expenses are subtracted to arrive at net income. \n\t\t\t\t\n\t\t\t\t<ul style=\'margin-top:10px;\'>\n\t\t\t\t<li>Tesla revenue for the quarter ending September 30, 2022 was <strong>$21.454B</strong>, a <strong>55.95% increase</strong> year-over-year.</li>\n\t\t\t\t<li>Tesla revenue for the twelve months ending September 30, 2022 was <strong>$74.863B</strong>, a <strong>59.8% increase</strong> year-over-year.</li>\n\t\t\t\t<li>Tesla annual revenue for 2021 was <strong>$53.823B</strong>, a <strong>70.67% increase</strong> from 2020.</li>\n\t\t\t\t<li>Tesla annual revenue for 2020 was <strong>$31.536B</strong>, a <strong>28.31% increase</strong> from 2019.</li>\n\t\t\t\t<li>Tesla annual revenue for 2019 was <strong>$24.578B</strong>, a <strong>14.52% increase</strong> from 2018.</li>\n\t\t\t\t</ul></span>\n\t\t\t\n\t\t\t</div>\n\n\t\t\n\t\t\t\n\t\t\t<div style="background-color:#fff; margin: 30px 0px 30px 0px; 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\n\n</div>\t\n\t\t\n\t\t</div>\n\t\t\n\t\t<div style="height:690px; background-color:#fff; border:1px solid #dfdfdf;">\n\t\t\n<iframe id="chart_iframe" title="Interactive chart: Tesla Revenue 2010-2022 | TSLA" valign="middle" margin="0px" width="800" height="680" marginheight=0 marginwidth=0 frameborder=0 vspace=0 hspace=0 scrolling=NO src="https://www.macrotrends.net/assets/php/fundamental_iframe.php?t=TSLA&type=revenue&statement=income-statement&freq=Q"></iframe>\t\n\t\n\t\t\n\t\t</div>\n\t\t\n\t\t\n\n\t\t\t<div id="ic_video_ad" style="height:317px; margin:30px;">\n\t\t\t\n\t\t\t\n\t\t\t\t<div id="IC_D_3x6"></div>\n\t\t\t\t\t\t\n\t\t\t\n\t\t\t</div>\n\n\t\t\t\n\n\t\t\t<div style="background-color:#fff; margin: 30px 0px; padding:10px 30px; border:1px solid #dfdfdf;">\n\t\t\n\t\t\n\t\t\t<iframe id="dianomi_below_chart" valign="middle" width="100%" height="300" marginheight=0 marginwidth=0 frameborder=0 vspace=0 hspace=0 scrolling=NO src="//www.dianomi.com/smartads.epl?id=4057"></iframe>\n\n\t\t\t<!--<div id="IC_D_3x7_BCC"></div>-->\n\t\t\t\n\t\t\n\t\t</div>\t\t\n\n\t\t\t\n \n\t\t\t\n\t\t\t<div id="style-1" style="background-color:#fff; height:510px; overflow:auto; margin: 30px 0px 30px 0px; padding:0px 30px 20px 0px; border:1px solid #dfdfdf;">\n\t\t\t\n\t\t\t \t<div class="col-xs-6">\n\t\t\t\n\t\t\t\t<table class="historical_data_table table">\n\t\t\t\t<thead>\n\t\t\t\t <tr>\n\t\t\t\t\t<th colspan=2 style="text-align:center">Tesla Annual Revenue<br /><span style="font-size:14px;">(Millions of US $)</span></th>\n\t\t\t\t </tr>\n\t\t\t\t</thead>\t\t\t\t\t\n\t\t\t\t<tbody>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2021</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$53,823</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2020</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$31,536</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2019</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$24,578</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2018</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$21,461</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2017</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$11,759</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2016</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$7,000</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2015</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$4,046</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2014</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$3,198</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2013</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$2,013</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2012</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$413</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2011</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$204</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2010</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$117</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2009</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<td style="text-align:center">$112</td>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t</tr>\n\t\t\t\t \n\t\t\t\t \n\t\t\t\t</tbody>\n\t\t\t </table>\n\t\t\t \n\t\t\t </div>\n\n\t\t\t <div class="col-xs-6">\n\t\t\t\n\t\t\t\t<table class="historical_data_table table">\n\t\t\t\t<thead>\n\t\t\t\t <tr>\n\t\t\t\t\t<th colspan=2 style="text-align:center">Tesla Quarterly Revenue<br /><span style="font-size:14px;">(Millions of US $)</span></th>\n\t\t\t\t </tr>\n\t\t\t\t</thead>\t\t\t\t\n\t\t\t\t<tbody>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2022-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$21,454</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2022-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$16,934</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2022-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$18,756</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2021-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$17,719</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2021-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$13,757</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2021-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$11,958</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2021-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$10,389</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2020-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$10,744</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2020-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$8,771</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2020-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$6,036</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2020-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$5,985</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2019-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$7,384</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2019-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$6,303</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2019-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$6,350</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2019-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$4,541</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2018-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$7,226</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2018-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$6,824</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2018-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$4,002</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2018-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$3,409</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2017-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$3,288</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2017-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$2,985</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2017-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$2,790</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2017-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$2,696</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2016-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$2,285</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2016-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$2,298</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2016-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$1,270</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2016-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$1,147</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2015-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$1,214</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2015-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$937</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2015-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$955</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2015-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$940</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2014-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$957</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2014-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$852</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2014-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$769</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2014-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$621</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2013-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$615</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2013-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$431</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2013-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$405</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2013-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$562</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2012-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$306</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2012-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$50</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2012-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$27</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2012-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$30</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2011-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$39</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2011-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$58</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2011-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$58</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2011-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$49</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2010-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$36</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2010-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$31</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2010-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$28</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2010-03-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$21</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2009-12-31</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center"></td>\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2009-09-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$46</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:center">2009-06-30</td>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t<td style="text-align:center">$27</td>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t </tr>\n\t\t\t\t \n\t\t\t\t \n\t\t\t\t</tbody>\n\t\t\t </table>\n\t\t\t \n\t\t\t </div>\n\t\t\t \n\n\t\t\t\n</div>\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t<div style="background-color:#fff; margin: 0px 0px 20px 0px; padding:5px 50px 5px 10px; border:1px solid #dfdfdf;">\n\n\t\t\t <table class="historical_data_table table">\n\t\t\t\t<thead>\n\t\t\t\t <tr>\n\t\t\t\t\t<th style="text-align:center">Sector</th>\n\t\t\t\t\t<th style="text-align:center">Industry</th>\n\t\t\t\t\t<th style="text-align:center">Market Cap</th>\n\t\t\t\t\t<th style="text-align:center">Revenue</th>\n\t\t\t\t </tr>\n\t\t\t\t</thead>\n\t\t\t\t<tbody>\n\t\t\t\t <tr>\n\t\t\t\t\t<td style="text-align:center"><a href=\'https://www.macrotrends.net/stocks/sector/5/auto-tires-trucks\'>Auto/Tires/Trucks</a></td>\n\t\t\t\t\t<td style="text-align:center"><a href=\'https://www.macrotrends.net/stocks/industry/7/\'>Auto Manufacturers - Domestic</a></td>\n\t\t\t\t\t<td style="text-align:center">$549.575B</td>\n\t\t\t\t\t<td style="text-align:center">$53.823B</td>\n\t\t\t\t </tr>\n\t\t\t\t <tr>\n\t\t\t\t\t <td colspan="4" style="padding:15px;">\n\t\t\t\t\t\t<span>Tesla is the market leader in battery-powered electric car sales in the United States, with roughly 70% market share. The company\'s flagship Model 3 is the best-selling EV model in the United States. Tesla, which has managed to garner the reputation of a gold standard over the years, is now a far bigger entity that what it started off since its IPO in 2010, with its market cap crossing $1 trillion for the first time in October 2021.? The EV king\'s market capitalization is more than the combined value of legacy automakers including Toyota, Volkswagen, Daimler, General Motors and Ford.Over the years, Tesla has shifted from developing niche products for affluent buyers to making more affordable EVs for the masses. The firm\'s three-pronged business model approach of direct sales, servicing, and charging its EVs sets it apart from other carmakers. Tesla, which is touted as the clean energy revolutionary automaker, is much more than just a car manufacturer.</span>\n\t\t\t\t\t </td>\n\t\t\t\t </tr>\n\t\t\t\t</tbody>\n\t\t\t </table>\t\t\t\n\t\t\t</div>\t\n\t\n\t\t\n\t\t<div style="background-color:#fff; margin: 20px 0px 30px 0px; padding:5px 50px 5px 10px; border:1px solid #dfdfdf;">\n\t\t\t\n\n\t\t\t\t<table class="historical_data_table table">\n\t\t\t\t<thead>\n\t\t\t\t <tr>\n\t\t\t\t\t<th style="text-align:center; width:40%;">Stock Name</th>\n\t\t\t\t\t<th style="text-align:center; width:20%;">Country</th>\n\t\t\t\t\t<th style="text-align:center; width:20%;">Market Cap</th>\n\t\t\t\t\t<th style="text-align:center; width:20%;">PE Ratio</th>\n\t\t\t\t </tr>\n\t\t\t\t</thead>\n\t\t\t\t<tbody>\t\t\t\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/GM/general-motors/revenue\'>General Motors (GM)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$53.930B</td>\n\t\t\t\t\t<td style="text-align:center">5.56</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/F/ford-motor/revenue\'>Ford Motor (F)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$52.668B</td>\n\t\t\t\t\t<td style="text-align:center">8.09</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/HOG/harley-davidson/revenue\'>Harley-Davidson (HOG)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$6.762B</td>\n\t\t\t\t\t<td style="text-align:center">9.56</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/PII/polaris/revenue\'>Polaris (PII)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$6.267B</td>\n\t\t\t\t\t<td style="text-align:center">11.86</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/IAA/iaa/revenue\'>IAA (IAA)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$5.134B</td>\n\t\t\t\t\t<td style="text-align:center">16.40</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/FSR/fisker/revenue\'>Fisker (FSR)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$2.261B</td>\n\t\t\t\t\t<td style="text-align:center">0.00</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/LEV/lion-electric/revenue\'>Lion Electric (LEV)</a></td>\n\t\t\t\t\t<td style="text-align:center">Canada</td>\n\t\t\t\t\t<td style="text-align:center">$0.551B</td>\n\t\t\t\t\t<td style="text-align:center">0.00</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/VLTA/volta/revenue\'>Volta (VLTA)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$0.071B</td>\n\t\t\t\t\t<td style="text-align:center">0.00</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/BRDS/bird-global/revenue\'>Bird Global (BRDS)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$0.054B</td>\n\t\t\t\t\t<td style="text-align:center">0.00</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<tr>\n\t\t\t\t\t<td style="text-align:left"><a href=\'/stocks/charts/ZEV/lightning-emotors/revenue\'>Lightning EMotors (ZEV)</a></td>\n\t\t\t\t\t<td style="text-align:center">United States</td>\n\t\t\t\t\t<td style="text-align:center">$0.043B</td>\n\t\t\t\t\t<td style="text-align:center">0.00</td>\n\t\t\t\t </tr>\n\n\t\t\t\t\t\t\n\t\t\t\t</tbody>\n\t\t\t </table>\t\t\t\n\t\t\t\n\t\t\t</div>\n\t\t\t\n\t\t\t\n\t\t\t<div>\n\t\t\t\n\t\t\t<!-- Partner Center Ad Unit -->\n\t\t\t<div id="IC_728x214_1" style="width:728px; 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Parse the html data using beautiful_soup using parser i.e html5lib or html.parser.
In [62]:
soup = BeautifulSoup(html_data, 'html.parser')
Using BeautifulSoup or the read_html function extract the table with Tesla Revenue and store it into a dataframe named tesla_revenue. The dataframe should have columns Date and Revenue.
Step-by-step instructions
Here are the step-by-step instructions:
1. Create an Empty DataFrame
2. Find the Relevant Table
3. Check for the Tesla Quarterly Revenue Table
4. Iterate Through Rows in the Table Body
5. Extract Data from Columns
6. Append Data to the DataFrame
Click here if you need help locating the table
Below is the code to isolate the table, you will now need to loop through the rows and columns like in the previous lab
soup.find_all("tbody")[1]
If you want to use the read_html function the table is located at index 1
We are focusing on quarterly revenue in the lab.
In [63]:
tesla_revenue = pd.DataFrame(columns=['Date','Revenue'])
# 找到所有 tbody（因為畫面上兩個表格是並列）
all_tables = soup.find_all("tbody")
# 選擇第二個表格（右邊的 Tesla Quarterly Revenue）
quarterly_table = all_tables[1]
for row in quarterly_table.find_all("tr"):
col = row.find_all("td")
Date = col[0].text
Revenue = col[1].text
tesla_revenue = pd.concat([tesla_quarterly_revenue, pd.DataFrame({"Date":[Date], "Revenue":[Revenue]})], ignore_index=True)
tesla_revenue.head()
Out[63]:
| Date | Revenue | |
|---|---|---|
| 0 | 2022-09-30 | $21,454 |
| 1 | 2022-06-30 | $16,934 |
| 2 | 2022-03-31 | $18,756 |
| 3 | 2021-12-31 | $17,719 |
| 4 | 2021-09-30 | $13,757 |
Execute the following line to remove the comma and dollar sign from the Revenue column.
In [64]:
tesla_revenue["Revenue"] = tesla_revenue['Revenue'].str.replace(',|\$',"",regex=True)
Execute the following lines to remove an null or empty strings in the Revenue column.
In [65]:
tesla_revenue.dropna(inplace=True)
tesla_revenue = tesla_revenue[tesla_revenue['Revenue'] != ""]
Display the last 5 row of the tesla_revenue dataframe using the tail function. Take a screenshot of the results.
In [38]:
tesla_revenue.drop_duplicates(inplace=True)
tesla_revenue.reset_index(drop=True, inplace=True)
tesla_revenue.tail()
Out[38]:
| Date | Revenue | |
|---|---|---|
| 48 | 2010-09-30 | 31 |
| 49 | 2010-06-30 | 28 |
| 50 | 2010-03-31 | 21 |
| 51 | 2009-09-30 | 46 |
| 52 | 2009-06-30 | 27 |
Question 3: Use yfinance to Extract Stock Data¶
Using the Ticker function enter the ticker symbol of the stock we want to extract data on to create a ticker object. The stock is GameStop and its ticker symbol is GME.
In [39]:
GameStop = yf.Ticker('GME')
Using the ticker object and the function history extract stock information and save it in a dataframe named gme_data. Set the period parameter to "max" so we get information for the maximum amount of time.
In [40]:
gme_data = GameStop.history(period='max')
Reset the index using the reset_index(inplace=True) function on the gme_data DataFrame and display the first five rows of the gme_data dataframe using the head function. Take a screenshot of the results and code from the beginning of Question 3 to the results below.
In [42]:
gme_data.reset_index(inplace=True)
gme_data.head()
Out[42]:
| index | Date | Open | High | Low | Close | Volume | Dividends | Stock Splits | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 2002-02-13 00:00:00-05:00 | 1.620128 | 1.693350 | 1.603296 | 1.691666 | 76216000 | 0.0 | 0.0 |
| 1 | 1 | 2002-02-14 00:00:00-05:00 | 1.712707 | 1.716074 | 1.670626 | 1.683251 | 11021600 | 0.0 | 0.0 |
| 2 | 2 | 2002-02-15 00:00:00-05:00 | 1.683251 | 1.687459 | 1.658002 | 1.674834 | 8389600 | 0.0 | 0.0 |
| 3 | 3 | 2002-02-19 00:00:00-05:00 | 1.666418 | 1.666418 | 1.578047 | 1.607504 | 7410400 | 0.0 | 0.0 |
| 4 | 4 | 2002-02-20 00:00:00-05:00 | 1.615920 | 1.662210 | 1.603296 | 1.662210 | 6892800 | 0.0 | 0.0 |
Question 4: Use Webscraping to Extract GME Revenue Data¶
Use the requests library to download the webpage https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0220EN-SkillsNetwork/labs/project/stock.html. Save the text of the response as a variable named html_data_2.
In [43]:
html_data_2 = requests.get('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0220EN-SkillsNetwork/labs/project/stock.html').text
Parse the html data using beautiful_soup using parser i.e html5lib or html.parser.
In [44]:
soup = BeautifulSoup(html_data_2, 'html.parser')
Using BeautifulSoup or the read_html function extract the table with GameStop Revenue and store it into a dataframe named gme_revenue. The dataframe should have columns Date and Revenue. Make sure the comma and dollar sign is removed from the Revenue column.
Note: Use the method similar to what you did in question 2.
Click here if you need help locating the table
Below is the code to isolate the table, you will now need to loop through the rows and columns like in the previous lab
soup.find_all("tbody")[1]
If you want to use the read_html function the table is located at index 1
In [51]:
gme_revenue = pd.DataFrame(columns=['Date','Revenue'])
for row in soup.find_all('tbody')[1].find_all('tr'):
col = row.find_all('td')
Data = col[0].text
Revenue = col[1].text
gme_revenue = pd.concat([gme_revenue, pd.DataFrame({"Date":[Data], "Revenue":[Revenue]})])
gme_revenue.head()
gme_revenue["Revenue"] = gme_revenue['Revenue'].str.replace(',|\$',"",regex=True)
gme_revenue.dropna(inplace=True)
gme_revenue = gme_revenue[gme_revenue['Revenue'] != ""]
Display the last five rows of the gme_revenue dataframe using the tail function. Take a screenshot of the results.
In [52]:
gme_revenue.tail()
Out[52]:
| Date | Revenue | |
|---|---|---|
| 0 | 2006-01-31 | 1667 |
| 0 | 2005-10-31 | 534 |
| 0 | 2005-07-31 | 416 |
| 0 | 2005-04-30 | 475 |
| 0 | 2005-01-31 | 709 |
Question 5: Plot Tesla Stock Graph¶
Use the make_graph function to graph the Tesla Stock Data, also provide a title for the graph. Note the graph will only show data upto June 2021.
Hint
You just need to invoke the make_graph function with the required parameter to print the graphs.The structure to call the `make_graph` function is `make_graph(tesla_data, tesla_revenue, 'Tesla')`.
In [53]:
make_graph(tesla_data, tesla_revenue, 'Tesla')
/tmp/ipykernel_301/109047474.py:5: UserWarning: The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument. /tmp/ipykernel_301/109047474.py:6: UserWarning: The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.
Question 6: Plot GameStop Stock Graph¶
Use the make_graph function to graph the GameStop Stock Data, also provide a title for the graph. The structure to call the make_graph function is make_graph(gme_data, gme_revenue, 'GameStop'). Note the graph will only show data upto June 2021.
Hint
You just need to invoke the make_graph function with the required parameter to print the graphs.The structure to call the `make_graph` function is `make_graph(gme_data, gme_revenue, 'GameStop')`
In [66]:
make_graph(gme_data, gme_revenue, 'GameStop')
/tmp/ipykernel_301/109047474.py:5: UserWarning: The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument. /tmp/ipykernel_301/109047474.py:6: UserWarning: The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.
About the Authors:
Joseph Santarcangelo has a PhD in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Azim Hirjani
Change Log¶
| Date (YYYY-MM-DD) | Version | Changed By | Change Description |
|---|---|---|---|
| 2022-02-28 | 1.2 | Lakshmi Holla | Changed the URL of GameStop |
| 2020-11-10 | 1.1 | Malika Singla | Deleted the Optional part |
| 2020-08-27 | 1.0 | Malika Singla | Added lab to GitLab |
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